Senior Software Developer, Workspace Safety and Security Team, AI/ML GenAI

Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Canada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Execute on developing roadmap goals for the team on content safety and security. Work cross-functionally across multiple teams to improve the quality of the training and evaluation datasets across the team. Design and implement scalable data pipelines that can be used across various work streams within the team. Write and test product or system development code and Review code developed by other developers. Provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging). 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. 5 years of experience with data structures and algorithms. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. 1 year of experience in a technical leadership role. Experience developing accessible technologies.